CVE-2026-59941

CVE-2026-59942: Dompdf Resource Exhaustion DoS - Proof of Concept Vulnerability Type: Denial of Service DoS via Resource Exhaustion Affected Software: Dompdf = 3.1.5 Credits: Fabian Rosales far00t01. Disclaimer This repository and its content are provided for educational and research purposes onl...

Astra Linux – Vulnerability in openjpeg2

OpenJPEG version 2.3.1 has a heap-based buffer overflow issue in the opjt1clbldecodeprocessor function in openjp2/t1.c, due to the lack of validation for the opjj2kupdateimagedimensions function...

CVE-2026-24255

NVIDIA Dynamo for Linux contains a vulnerability in the multimodal embedding cache, where an attacker could cause a hash collision by submitting images that share an identical pixel byte sequence but have different dimensions. A successful exploit of this vulnerability might lead to data tamperin...

CVE-2026-59942 Dompdf: Denial of Service (DoS) via Resource Exhaustion using Oversized Image Bitmaps

Dompdf is an HTML to PDF converter for PHP. Versions 3.15 and prior are vulnerable to a Denial of Service DoS attack via resource exhaustion. An attacker can crash the PHP process by providing a specially crafted HTML document containing a single image with massive dimensions e.g., 30,000x30,000...

GHSA-5QJQ-93H5-HRGP pypdf: Possible large memory usage for wrong image dimensions

Impact An attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires loading images where the declared size values are much too large compared to the actual data. Patches This has been fixed in pypdf==6.14.0. Workarounds If you cannot upgrade yet, consid...

pypdf: Possible large memory usage for wrong image dimensions

Impact An attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires loading images where the declared size values are much too large compared to the actual data. Patches This has been fixed in pypdf==6.14.0. Workarounds If you cannot upgrade yet, consid...

CVE-2026-65650

Elgg before 7.0.0 does not check image dimensions to prevent denial of service via a large avatar upload...

CVE-2026-65650

CVE-2026-65650 affects Elgg before 7.0.0, where image dimension checks are missing, enabling a denial-of-service via oversized avatar uploads. Impact: possible availability degradation (CVSS 4.3). Remediation: upgrade to Elgg 7.0.0 or later where the issue is addressed, as reflected in the 7.0.0 ...

CVE-2026-65650

Elgg before 7.0.0 does not check image dimensions to prevent denial of service via a large avatar upload...

CVE-2026-65650

Elgg before 7.0.0 does not check image dimensions to prevent denial of service via a large avatar upload...

GHSA-PHJ9-MV4W-65PM Pillow `GdImageFile._open()`: image dimensions accepted without `_decompression_bomb_check()`

Description PIL/GdImageFile.py GdImageFile.open reads image dimensions from the GD 2.x header and stores them in self.size without calling Image.decompressionbombcheck. Because GdImageFile is not registered with Image.registeropen, it never passes through the standard Image.open code path that...

CVE-2026-33327 Possible integer overflow leading to potential heap-based buffer overflow

libvips is a fast image processing library with low memory needs. The vipsload operation in versions before and including 8.18.0 could incorrectly determine image dimensions leading to an integer overflow and a subsequent heap-based buffer overflow. This has been patched in version 8.18.1...

CVE-2026-33327 Possible integer overflow leading to potential heap-based buffer overflow

libvips is a fast image processing library with low memory needs. The vipsload operation in versions before and including 8.18.0 could incorrectly determine image dimensions leading to an integer overflow and a subsequent heap-based buffer overflow. This has been patched in version 8.18.1...

PT-2026-61632

Name of the Vulnerable Software and Affected Versions libvips versions prior to 8.18.1 Description The vipsload operation can incorrectly determine image dimensions, which leads to an integer overflow and a subsequent heap-based buffer overflow. A heap-based buffer overflow occurs when a program...

pypdf: Manipulated FlateDecode image dimensions can exhaust RAM

ImpactAn attacker who uses this vulnerability can craft a PDF which leads to the RAM being exhausted. This requires accessing an image using /FlateDecode with large size values. PatchesThis has been fixed in pypdf==6.10.2. WorkaroundsIf you cannot upgrade yet, consider applying the changes from P...

Memory Allocation with Excessive Size Value

Overview pypdf is an A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files Affected versions of this package are vulnerable to Memory Allocation with Excessive Size Value via the image parsing process. An attacker can cause excessive memory consumption by...

CVE-2026-59938 pypdf: Possible large memory usage for wrong image dimensions

pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large compared to the actual data, causing large memory usage in pypdf image parsing. This issue is fixed in version 6.14.0...

CVE-2026-59938 pypdf: Possible large memory usage for wrong image dimensions

pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large compared to the actual data, causing large memory usage in pypdf image parsing. This issue is fixed in version 6.14.0...

CVE-2026-59938

CVE-2026-59938 affects the Python PDF library pypdf. Before version 6.14.0, an attacker can craft a PDF with image size values declared much larger than actual data, causing large memory usage during pypdf image parsing. Root cause: mismatch between declared image dimensions and image data in the...

CVE-2026-59938 pypdf: Possible large memory usage for wrong image dimensions

pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large compared to the actual data, causing large memory usage in pypdf image parsing. This issue is fixed in version 6.14.0...